Creating Machine Learning Projects can be a bit tasking due to the high barrier of understanding Machine Learning languages and ability to debug when issue arise. In this course, Building Machine Learning Models with Azure Machine Learning Designer, you’ll learn to use drag and drop features to create an end-to-end machine learning pipeline for your ML Models. First, you’ll explore how to setup your ML pipeline in the Azure Machine Learning Studio. Then, you’ll learn how to ingest and transform different datasets formats. Finally, you’ll learn how to create models and make predictions in preparation to deploy the model. When you’re finished with this course, you’ll have the skills and knowledge of Building Models with Azure Machine Learning Designer needed to create effective Machine Learning Models.
Course Overview Hi, everyone. My name is the Ifedayo Bamikole, and welcome to my course on Building Machine Learning Models with the Azure Machine Learning Designer. I am a data and AI solution architect at Microsoft, and this course will help data professionals visualize machine learning process with the Azure Machine Learning designer. This tool will increase efficiency because it enables the user to quickly take machine learning projects from conception to production. Some of the major topics we will cover include setting up a pipeline with the Azure Machine Learning designer, ingesting data with the Azure Machine Learning designer, applying machine learning algorithms, and consuming machine learning models in the Azure Machine Learning designer. Before beginning this course, you should be familiar with the Azure portal and some Azure Data Services like Azure SQL and Azure Storage. By the end of this course, you have a solid foundation to adequately build your model from scratch in the Azure Machine Learning Designer. I hope you will join me on this journey to learn about Azure Machine Learning with the Build Machine Learning Models with the Azure Machine Learning Designer course at Pluralsight.